Artificial Intelligence in Social Media Market Size, Share, Trend, Forecast, Competitive Analysis, and Growth Opportunity: 2023-2029
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Artificial Intelligence in Social Media Market Size, Share, Trend, Forecast, Competitive Analysis, and Growth Opportunity: 2023-2029
Artificial Intelligence in Social Media Market is segmented by Technology Type (Machine Learning and Deep Learning, Natural Language Processing), by Application Type (Sales and Marketing, Customer Experience Management, Predictive Risk Assessment), by Component Type (Solutions, Services), by Enterprise Size Type (Small and Medium-sized Enterprises, Large Enterprises), by End-User Type (Retail and eCommerce, Banking, Financial Services, and Insurance, Media and Advertising, Education, Public Utilities,), and by Region – (North America [The USA, Canada, and Mexico], Europe [Germany, France, The U.K., Russia, and Rest of Europe], Asia-Pacific [China, Japan, India, South Korea, and Rest of Asia-Pacific], and Rest of the World [Brazil, Saudi Arabia, Israel, and Others]) - Russia-Ukraine War Impact Analysis and Forecast to 2029.
Artificial Intelligence in Social Media Market is segmented by Technology Type (Machine Learning and Deep Learning, Natural Language Processing), by Application Type (Sales and Marketing, Customer Experience Management, Predictive Risk Assessment), by Component Type...
“The Artificial Intelligence in Social Media Market is expected to grow from USD 1.56 billion in 2022 to USD 5.72 billion by 2029 at a CAGR of 20.4% during the forecast period”.
Artificial Intelligence (AI) in social media involves leveraging AI technologies to enhance platforms and user interactions. AI-driven chatbots streamline customer service by offering prompt responses. Moreover, AI analyzes user data, identifying behavior patterns to personalize content recommendations, boost engagement, and safeguard against inappropriate content and misinformation.
This integration improves overall user experiences, platform functionality, and content personalization, transforming the social media landscape by facilitating deeper connections between companies and users.
Market Drivers
AI technology in social media to gain insights into market trends and a competitive edge
In the face of intense global competition, businesses are striving to improve offerings and reduce costs. Social media platforms offer valuable insights, with companies focusing on analyzing customer data to enhance products and services. Customer expectations for higher quality, lower prices, and faster delivery drive businesses to employ advanced analytics, including AI integration into social media services.
By leveraging AI, organizations can analyze vast amounts of unstructured social media data, responding effectively to market dynamics and achieving higher operational profitability. AI applications in customer experience, sales, marketing, and workforce management provide a competitive edge, allowing companies to stay ahead in today's demanding business landscape.
The dearth of AI experts
AI, a complex technology, demands a skilled workforce for development and implementation, requiring expertise in cognitive computing, machine learning, deep learning, and image recognition. Integrating AI into existing systems is challenging, necessitating meticulous data processing to replicate human brain behavior; even minor errors can lead to system failure, impacting desired outcomes.
In its early product lifecycle, AI faces a scarcity of individuals with in-depth knowledge, heightening the impact of this constraint during the initial forecast period. Overcoming these challenges is vital for companies to effectively leverage AI's potential in their operations.
Lack of standards to process the growing volume of unstructured data
The surge in social media usage has led to significant growth in unstructured data, comprising images, videos, and audio content. Directly analyzing this expanding data poses a challenge for organizations, given social media platforms' reliance on text data. While various platforms can extract useful information from metadata and comments, the rise of vlogs on YouTube, along with content on platforms like Facebook, Instagram, Pinterest, and podcasts, complicates analysis.
Despite available social listening tools, they are not fully robust. Effectively managing the increasing unstructured data remains a significant challenge for the market, highlighting the need for solutions to address this scarcity and propel future advancements.
Recent Developments
In October 2022, Google acquired Alter, an AI avatar startup that was working on AI to generate avatars for social media users and brands to express their virtual identities.
In October 2022, Snapchat introduced a new conversation tracking tool to safeguard young users.
In December 2021, NetBase Quid, a global leader in AI-powered consumer and market intelligence, acquired Rival IQ, an innovative social media analytics provider.
Segments Analysis
Segmentations
List of Sub-Segments
Dominant and Fastest-Growing Segments
Application-Type Analysis
Sales and Marketing, Customer Experience Management, Predictive Risk Assessment
The predictive risk assessment segment is to grow at the highest CAGR over the forecast period.
Technology-Type Analysis
Machine Learning and Deep Learning, Natural Language Processing
The machine learning and deep learning segment have the largest market size over the forecast period.
Regional Analysis
North America, Europe, Asia-Pacific, and Rest of the World
North America is expected to have the largest market size in the AI in social media market.
By Application Type
“The predictive risk assessment segment is to grow at the highest CAGR over the forecast period”.
The AI in social media market is segmented into various applications, including sales and marketing, customer experience management, and predictive risk assessment. The predictive risk assessment segment encompasses AI-enabled applications such as competitive intelligence, fraud detection, and prevention, compliance, as well as public safety and law enforcement and is expected to grow at the highest CAGR during the forecast period.
By Technology Type
“The machine learning and deep learning segment are projected to hold the largest market size during the forecast period”.
The market is segmented into machine learning & deep learning, and natural language processing. Among technologies, the machine learning and deep learning segment have the largest market size over the forecast period.
Machine learning and deep learning technology are becoming increasingly important in social media platforms. This technology uses AI, big data, and analytics to identify data patterns from the unstructured data generated on social media. The growth of machine learning and deep learning technology can be attributed to its use in self-learning services and the automation of social media applications.
Regional Analysis
“North America is anticipated to have the largest market size in the AI in social media market during the forecast period”.
The market is broken down geographically into areas like North America, Europe, Asia-Pacific, and the Rest of the World (RoW). During the forecast period, North America is expected to have the largest market size in the artificial intelligence in social media market.
The region has witnessed significant investments in this market and is expected to experience considerable growth. The US is one of the largest markets for AI-based solutions in this region. Both enterprises and governments in North America have adopted AI in social media technologies to enhance customer experience.
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Key Players
The following are the key players in the artificial intelligence in social media market (arranged alphabetically)
Note: The above list does not necessarily include all the top players in the market.
Are you the leading player in this market? We would love to include your name. Write to us at sales@stratviewresearch.com
Report Features
This report provides market intelligence in the most comprehensive way. The report structure has been kept such that it offers maximum business value. It provides critical insights into the market dynamics and will enable strategic decision-making for the existing market players as well as those willing to enter the market.
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Key questions this report answers
Relevant contents in the report
How big is the sales opportunity?
in-depth Analysis of the Artificial Intelligence in Social Media Market
How lucrative is the future?
The market forecast and trend data and emerging trends
Which regions offer the best sales opportunities?
Global, regional, and country-level historical data and forecasts
Which are the most attractive market segments?
Market segment analysis and Forecast
Which are the top players and their market positioning?
Porter’s five forces analysis, PEST analysis, Life cycle analysis
What are the factors affecting the market?
Drivers & challenges
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10% free customization
Research Methodology
This report offers high-quality insights and is the outcome of a detailed research methodology comprising extensive secondary research, rigorous primary interviews with industry stakeholders, and validation and triangulation with Stratview Research’s internal database and statistical tools.
More than 1,000 authenticated secondary sources, such as company annual reports, fact books, press releases, journals, investor presentations, white papers, patents, and articles have been leveraged to gather the data.
We conducted more than 15 detailed primary interviews with the market players across the value chain in all four regions and with industry experts to obtain both qualitative and quantitative insights.
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North America is expected to have the largest market size in the AI in social media market during the forecast period. The region has witnessed significant investments in this market and is expected to experience considerable growth.